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This role involves developing, integrating, and optimizing machine learning models on Android-based IoT devices, contributing to the core software of advanced edge AI products.
Looking for Edge AI and IoT Engineers to build and maintain machine learning software on Android devices, such as AI-enabled cameras. You'll be responsible for turning advanced ML models into efficient, on-device features that power intelligent IoT systems. This role is essential in developing the core components of smart, machine learning-driven products.
Responsibilities
Implement and maintain ML algorithms and edge AI models on Android IoT devices.
Integrate models into Android systems and optimize them for performance.
Apply ML techniques to video, audio, and sensor data processing.
Support product and operations teams with technical expertise.
Produce technical documentation and assist with patent-related work.
Strong experience (at least 3 years) in Android development and on-device machine learning implementation.
Proficiency in Java, Kotlin, or C/C++ with a solid background in large-scale software development.
Hands-on experience deploying and optimizing ML models on Android using frameworks like TensorFlow Lite or PyTorch Mobile.
Deep understanding of Android internals (kernel, drivers, memory, scheduling) and ability to diagnose system-level issues.
Strong analytical, problem-solving, communication, and teamwork skills.
Next Step
Lim Jia Yi
EA License Number: 91C2918
Personnel Registration Number: R24119814
Job ID: 135568617